Author: Posts on R Lover ! a programmer

Feed: R-bloggers. Author: Posts on R Lover ! a programmer. This week’s post follows directly from last week’sinvestigationof data from the 2016 US Census Bureau’s American Community Survey (ACS) PublicUse Microdata Sample(PUMS). We exploredmean differences in income across several different types of employment status(self-employed, private sector, government, etc.). We found, using bayesianmethods, strong evidence for differences across the categories and were able toplot them in a variety of formats using ggplot2 and ggsignif.While I was very happy with the plot results (which was my primary interest)something was nagging me the whole time I was writing the post. Our outcomemeasure was ... Read More

Feed: R-bloggers. Author: Posts on R Lover ! a programmer. This week my post is relatively short and very focused. What makes it interesting(at least to me) is whether it will be seen as a useful “bridge” betweenfrequentist methods and bayesian methods or as an abomination to both! There’ssome reasonably decent code and explanation in this post but before I spend muchmore time on the functionality I definitely want to hear some feedback. For the small number of you who have been following along I have been trying toelevate my own use of bayesian methods as well as share what ... Read More

Feed: R-bloggers. Author: Posts on R Lover ! a programmer. This post builds upon two earlier posts:Comparing Frequentist, Bayesian and Simulation methods and conclusions More Bayes and multiple comparisons Background This all started with a nice post from AnindyaMozumdaron the R Bloggers feed. The topic material wasfun for me (analyzing the performance of male 100m sprinters and the fastest manon earth), as well as exploring bayesian methods. Lastpost inthis series I made use of one of the nice features about a Bayesian approach –we don’t have to worry nearly as much about the multiple comparisons issue[Gelman, Hill, Yajima (2012)]. But, ... Read More

Feed: R-bloggers. Author: Posts on R Lover ! a programmer. About a week ago Bob Rudis created a nice blogpostthat I saw on my R Bloggers feed thatsimultaneously: Threw a bit of “shade” on the ToS for Axios (well done Bob) Showed how to use EtherCalc as a data entry tool And, most importantly to me, showed how to make great use of a slopegraph I happened to be on vacation at the time but as soon as I got back and caught upI vowed to follow up since slopegraphs have always fascinatedmeand I happened to write a function to ... Read More

Feed: R-bloggers. Author: Posts on R Lover ! a programmer. In my lastpostI had a little fun comparing perspectives among Bayesian, frequentist andprogrammer methodologies. I took a nice post from AnindyaMozumdarfrom the R Bloggers feed and investigated theworld’s fastest man. I’ve found that in writing these posts two things alwayshappen. I learn a lot, and I have follow-on questions or thoughts. This time is noexception, the last post made me want to investigate further the notion ofhypothesis testing and multiple comparisons, especially in a Bayesian framework.So here we go again. This post assumes that you’ve read the earlier posts. Let’s ... Read More

Feed: R-bloggers. Author: Posts on R Lover ! a programmer. So, a programmer, a frequentist, and a bayesian walk into a bar. No this postisn’t really on the path to some politically incorrect stereotypical humor. Juttrying to make it fun and catch your attention. As the title implies this postis really about applying the differing viewpoints and methodologies inherent inthose approaches to statistics. To be honest I’m not even going to spend a lottime on the details of methods, I want to focus on the conclusions each of thesepeople would draw after analyzing the same data using their favored methods.This ... Read More